Implement dynamic graph memory update feature for simulations

- Added a new optional parameter `enable_graph_memory_update` to the simulation API, allowing real-time updates of agent activities to the Zep knowledge graph.
- Introduced `ZepGraphMemoryUpdater` and `ZepGraphMemoryManager` classes to handle the background processing of activity updates, ensuring efficient API calls and data management.
- Updated the README.md to include detailed instructions on the new graph memory update functionality and its configuration.
- Enhanced the simulation runner to manage the lifecycle of the graph memory updater, including starting and stopping the updater based on user configuration.
- Improved logging to track the status of graph memory updates, providing better insights into the simulation process.

backend/README.md

@@ -27,6 +27,7 @@
 3. **Agent人设生成**: 基于图谱实体,使用 LLM 生成详细的社交媒体用户人设
 4. **模拟配置智能生成**: 使用 LLM 根据需求自动生成模拟参数(时间、活跃度、事件等)
 5. **双平台模拟**: 支持 Twitter 和 Reddit 双平台并行舆论模拟(基于 OASIS 框架)
+6. **图谱记忆动态更新**: 可选功能,将模拟中Agent的活动实时更新到Zep图谱,让图谱"记住"模拟过程
 
 ---
 
@@ -69,7 +70,7 @@
 
 3. **模拟运行流程**:
    ```
-   启动模拟 → 运行OASIS脚本 → 实时监控 → 记录动作 → 状态查询
+   启动模拟 → 运行OASIS脚本 → 实时监控 → 记录动作 → (可选)更新Zep图谱记忆 → 状态查询
    ```
 
 ---
@@ -150,7 +151,8 @@ backend/
     │   ├── oasis_profile_generator.py     # 人设生成
     │   ├── simulation_config_generator.py # 配置生成
     │   ├── simulation_manager.py          # 模拟管理
-    │   └── simulation_runner.py           # 模拟运行
+    │   ├── simulation_runner.py           # 模拟运行
+    │   └── zep_graph_memory_updater.py    # 图谱记忆动态更新
     └── utils/                 # 工具类
         ├── __init__.py
         ├── file_parser.py     # 文件解析
@@ -207,11 +209,13 @@ backend/
 2. 启动 OASIS 模拟进程(subprocess)
 3. 监控进程运行状态
 4. 解析动作日志(actions.jsonl)
-5. 实时更新运行状态
+5. (可选)将Agent活动实时更新到Zep图谱
-6. 支持停止/暂停/恢复
+6. 实时更新运行状态
+7. 支持停止/暂停/恢复
 
 **核心服务**:
 - `SimulationRunner`: 模拟运行器
+- `ZepGraphMemoryUpdater`: 图谱记忆动态更新器
 
 ---
 
@@ -555,7 +559,8 @@ backend/
 {
   "simulation_id": "sim_10b494550540",
   "platform": "parallel",
-  "max_rounds": 100
+  "max_rounds": 100,
+  "enable_graph_memory_update": false
 }
 ```
 
@@ -563,7 +568,8 @@ backend/
 |------|------|------|--------|------|
 | simulation_id | String | 是 | - | 模拟ID |
 | platform | String | 否 | parallel | 运行平台: twitter/reddit/parallel |
-| max_rounds | Integer | 否 | - | 最大模拟轮数，用于截断过长的模拟。如果配置中的轮数超过此值，将被截断 |
+| max_rounds | Integer | 否 | - | 最大模拟轮数，用于截断过长的模拟 |
+| enable_graph_memory_update | Boolean | 否 | false | 是否将Agent活动动态更新到Zep图谱 |
 
 **返回示例**:
 ```json
@@ -577,12 +583,25 @@ backend/
     "reddit_running": true,
     "started_at": "2025-12-02T11:00:00",
     "total_rounds": 100,
-    "max_rounds_applied": 100
+    "max_rounds_applied": 100,
+    "graph_memory_update_enabled": true,
+    "graph_id": "mirofish_abc123"
   }
 }
 ```
 
-> **说明**: `max_rounds_applied` 字段仅在指定了 `max_rounds` 参数时返回，表示实际应用的最大轮数限制。
+> **说明**: 
+> - `max_rounds_applied` 字段仅在指定了 `max_rounds` 参数时返回
+> - `graph_memory_update_enabled` 和 `graph_id` 字段在启用图谱记忆更新时返回
+
+**图谱记忆更新功能说明**:
+
+启用 `enable_graph_memory_update` 后:
+- 模拟中所有Agent的活动(发帖、评论、点赞、转发等)会实时更新到Zep图谱
+- 活动会被转换为自然语言描述,例如:`[Twitter模拟 第15轮] 张三: 发布了一条帖子：「...」`
+- 采用批量更新机制(默认10条或30秒),减少API调用次数
+- Zep会自动从文本中提取实体和关系,丰富图谱知识
+- 需要项目已构建有效的图谱(graph_id)
 
 ---
 
@@ -1255,6 +1274,126 @@ def cleanup_all_simulations(cls):
 
 ---
 
+### 8. ZepGraphMemoryUpdater (图谱记忆更新器)
+
+**文件**: `app/services/zep_graph_memory_updater.py`
+
+**功能**: 将模拟中的Agent活动动态更新到Zep图谱
+
+**核心类**:
+
+```python
+class AgentActivity:
+    """Agent活动记录"""
+    platform: str           # twitter / reddit
+    agent_id: int
+    agent_name: str
+    action_type: str        # CREATE_POST, LIKE_POST, etc.
+    action_args: Dict
+    round_num: int
+    timestamp: str
+    
+    def to_episode_text(self) -> str:
+        """
+        将活动转换为自然语言描述
+        
+        示例输出:
+        - "[Twitter模拟 第15轮] 张三: 发布了一条帖子：「官方声明：...」"
+        - "[Reddit模拟 第3轮] 李四: 在帖子#5下评论道：「我认为...」"
+        - "[Twitter模拟 第10轮] 王五: 引用帖子#3并评论：「同意！」"
+        """
+```
+
+```python
+class ZepGraphMemoryUpdater:
+    """
+    图谱记忆更新器
+    
+    特性:
+    - 批量更新(BATCH_SIZE=10条或MAX_WAIT_TIME=30秒)
+    - 后台线程异步处理,不阻塞主模拟流程
+    - 带重试的API调用(MAX_RETRIES=3)
+    - 自动跳过DO_NOTHING类型的活动
+    """
+    
+    def start(self):
+        """启动后台工作线程"""
+    
+    def stop(self):
+        """停止并发送剩余活动"""
+    
+    def add_activity(self, activity: AgentActivity):
+        """添加活动到队列"""
+    
+    def add_activity_from_dict(self, data: Dict, platform: str):
+        """从动作日志字典添加活动"""
+    
+    def get_stats(self) -> Dict:
+        """获取统计信息(total_activities, total_sent, failed_count等)"""
+```
+
+```python
+class ZepGraphMemoryManager:
+    """
+    管理多个模拟的更新器实例
+    """
+    
+    @classmethod
+    def create_updater(cls, simulation_id: str, graph_id: str) -> ZepGraphMemoryUpdater:
+        """为模拟创建并启动更新器"""
+    
+    @classmethod
+    def get_updater(cls, simulation_id: str) -> Optional[ZepGraphMemoryUpdater]:
+        """获取模拟的更新器"""
+    
+    @classmethod
+    def stop_updater(cls, simulation_id: str):
+        """停止并移除模拟的更新器"""
+    
+    @classmethod
+    def stop_all(cls):
+        """停止所有更新器(服务器关闭时调用)"""
+```
+
+**活动类型转换**:
+
+| action_type | 转换后的描述 |
+|-------------|-------------|
+| CREATE_POST | 发布了一条帖子：「{content}」 |
+| LIKE_POST | 点赞了帖子#{post_id} |
+| DISLIKE_POST | 踩了帖子#{post_id} |
+| REPOST | 转发了帖子#{post_id} |
+| QUOTE_POST | 引用帖子#{quoted_id}并评论：「{content}」 |
+| FOLLOW | 关注了用户#{user_id} |
+| CREATE_COMMENT | 在帖子#{post_id}下评论道：「{content}」 |
+| LIKE_COMMENT | 点赞了评论#{comment_id} |
+| SEARCH_POSTS | 搜索了「{query}」 |
+| MUTE | 屏蔽了用户#{user_id} |
+
+**使用示例**:
+
+```python
+# 在启动模拟时启用图谱记忆更新
+POST /api/simulation/start
+{
+    "simulation_id": "sim_xxx",
+    "enable_graph_memory_update": true
+}
+```
+
+启用后,模拟中的活动会被转换为类似以下格式的文本并发送到Zep:
+
+```
+[Twitter模拟 第0轮] 上级: 发布了一条帖子：「官方声明：经复核并结合司法判决，校方决定撤销对肖某某的处分。学校向当事人致以正式歉意...」
+[Twitter模拟 第0轮] 全国顶尖新闻传播学院的大学: 发布了一条帖子：「武汉大学官方发布：学校已决定撤销此前对当事人的处分...」
+[Twitter模拟 第15轮] 全国考生: 引用帖子#5并评论
+[Reddit模拟 第3轮] 教师代表: 在帖子#2下评论道：「此事暴露出高校在程序正义上的问题...」
+```
+
+Zep会自动从这些文本中提取实体(如人名、机构名)和关系,丰富图谱知识。
+
+---
+
 ## 工具类
 
 ### 1. FileParser (文件解析器)
@@ -1508,13 +1647,14 @@ curl -X POST http://localhost:5001/api/simulation/prepare/status \
 
 # 等待status=completed
 
-# Step 7: 启动模拟（可选指定max_rounds限制轮数）
+# Step 7: 启动模拟（可选参数：max_rounds限制轮数，enable_graph_memory_update启用图谱记忆更新）
 curl -X POST http://localhost:5001/api/simulation/start \
   -H "Content-Type: application/json" \
   -d '{
     "simulation_id": "sim_xxx",
     "platform": "parallel",
-    "max_rounds": 50
+    "max_rounds": 50,
+    "enable_graph_memory_update": true
   }'
 
 # Step 8: 实时查询运行状态
@@ -1689,6 +1829,6 @@ MIT License
 
 ---
 
-**最后更新**: 2025-12-02
+**最后更新**: 2025-12-05
-**版本**: v1.0.0
+**版本**: v1.1.0
 

backend/app/api/simulation.py

@@ -1115,9 +1115,16 @@ def start_simulation():
         {
             "simulation_id": "sim_xxxx",          // 必填，模拟ID
             "platform": "parallel",                // 可选: twitter / reddit / parallel (默认)
-            "max_rounds": 100              // 可选: 最大模拟轮数，用于截断过长的模拟
+            "max_rounds": 100,                     // 可选: 最大模拟轮数，用于截断过长的模拟
+            "enable_graph_memory_update": false    // 可选: 是否将Agent活动动态更新到Zep图谱记忆
         }
     
+    关于 enable_graph_memory_update：
+        - 启用后，模拟中所有Agent的活动（发帖、评论、点赞等）都会实时更新到Zep图谱
+        - 这可以让图谱"记住"模拟过程，用于后续分析或AI对话
+        - 需要模拟关联的项目有有效的 graph_id
+        - 采用批量更新机制，减少API调用次数
+    
     返回：
         {
             "success": true,
@@ -1127,7 +1134,8 @@ def start_simulation():
                 "process_pid": 12345,
                 "twitter_running": true,
                 "reddit_running": true,
-                "started_at": "2025-12-01T10:00:00"
+                "started_at": "2025-12-01T10:00:00",
+                "graph_memory_update_enabled": true  // 是否启用了图谱记忆更新
             }
         }
     """
@@ -1143,6 +1151,7 @@ def start_simulation():
         
         platform = data.get('platform', 'parallel')
         max_rounds = data.get('max_rounds')  # 可选：最大模拟轮数
+        enable_graph_memory_update = data.get('enable_graph_memory_update', False)  # 可选：是否启用图谱记忆更新
         
         # 验证 max_rounds 参数
         if max_rounds is not None:
@@ -1203,8 +1212,33 @@ def start_simulation():
                     "error": f"模拟未准备好，当前状态: {state.status.value}，请先调用 /prepare 接口"
                 }), 400
         
+        # 获取图谱ID（用于图谱记忆更新）
+        graph_id = None
+        if enable_graph_memory_update:
+            # 从模拟状态或项目中获取 graph_id
+            graph_id = state.graph_id
+            if not graph_id:
+                # 尝试从项目中获取
+                project = ProjectManager.get_project(state.project_id)
+                if project:
+                    graph_id = project.graph_id
+            
+            if not graph_id:
+                return jsonify({
+                    "success": False,
+                    "error": "启用图谱记忆更新需要有效的 graph_id，请确保项目已构建图谱"
+                }), 400
+            
+            logger.info(f"启用图谱记忆更新: simulation_id={simulation_id}, graph_id={graph_id}")
+        
         # 启动模拟
-        run_state = SimulationRunner.start_simulation(simulation_id, platform, max_rounds)
+        run_state = SimulationRunner.start_simulation(
+            simulation_id=simulation_id,
+            platform=platform,
+            max_rounds=max_rounds,
+            enable_graph_memory_update=enable_graph_memory_update,
+            graph_id=graph_id
+        )
         
         # 更新模拟状态
         state.status = SimulationStatus.RUNNING
@@ -1213,6 +1247,9 @@ def start_simulation():
         response_data = run_state.to_dict()
         if max_rounds:
             response_data['max_rounds_applied'] = max_rounds
+        response_data['graph_memory_update_enabled'] = enable_graph_memory_update
+        if enable_graph_memory_update:
+            response_data['graph_id'] = graph_id
         
         return jsonify({
             "success": True,

backend/app/services/__init__.py

@@ -23,6 +23,11 @@ from .simulation_runner import (
     AgentAction,
     RoundSummary
 )
+from .zep_graph_memory_updater import (
+    ZepGraphMemoryUpdater,
+    ZepGraphMemoryManager,
+    AgentActivity
+)
 
 __all__ = [
     'OntologyGenerator', 
@@ -47,5 +52,8 @@ __all__ = [
     'RunnerStatus',
     'AgentAction',
     'RoundSummary',
+    'ZepGraphMemoryUpdater',
+    'ZepGraphMemoryManager',
+    'AgentActivity',
 ]
 

backend/app/services/simulation_runner.py

@@ -20,6 +20,7 @@ from queue import Queue
 
 from ..config import Config
 from ..utils.logger import get_logger
+from .zep_graph_memory_updater import ZepGraphMemoryManager
 
 logger = get_logger('mirofish.simulation_runner')
 
@@ -201,6 +202,9 @@ class SimulationRunner:
     _stdout_files: Dict[str, Any] = {}  # 存储 stdout 文件句柄
     _stderr_files: Dict[str, Any] = {}  # 存储 stderr 文件句柄
     
+    # 图谱记忆更新配置
+    _graph_memory_enabled: Dict[str, bool] = {}  # simulation_id -> enabled
+    
     @classmethod
     def get_run_state(cls, simulation_id: str) -> Optional[SimulationRunState]:
         """获取运行状态"""
@@ -281,7 +285,9 @@ class SimulationRunner:
         cls,
         simulation_id: str,
         platform: str = "parallel",  # twitter / reddit / parallel
-        max_rounds: int = None  # 最大模拟轮数（可选，用于截断过长的模拟）
+        max_rounds: int = None,  # 最大模拟轮数（可选，用于截断过长的模拟）
+        enable_graph_memory_update: bool = False,  # 是否将活动更新到Zep图谱
+        graph_id: str = None  # Zep图谱ID（启用图谱更新时必需）
     ) -> SimulationRunState:
         """
         启动模拟
@@ -290,6 +296,8 @@ class SimulationRunner:
             simulation_id: 模拟ID
             platform: 运行平台 (twitter/reddit/parallel)
             max_rounds: 最大模拟轮数（可选，用于截断过长的模拟）
+            enable_graph_memory_update: 是否将Agent活动动态更新到Zep图谱
+            graph_id: Zep图谱ID（启用图谱更新时必需）
             
         Returns:
             SimulationRunState
@@ -332,6 +340,21 @@ class SimulationRunner:
         
         cls._save_run_state(state)
         
+        # 如果启用图谱记忆更新，创建更新器
+        if enable_graph_memory_update:
+            if not graph_id:
+                raise ValueError("启用图谱记忆更新时必须提供 graph_id")
+            
+            try:
+                ZepGraphMemoryManager.create_updater(simulation_id, graph_id)
+                cls._graph_memory_enabled[simulation_id] = True
+                logger.info(f"已启用图谱记忆更新: simulation_id={simulation_id}, graph_id={graph_id}")
+            except Exception as e:
+                logger.error(f"创建图谱记忆更新器失败: {e}")
+                cls._graph_memory_enabled[simulation_id] = False
+        else:
+            cls._graph_memory_enabled[simulation_id] = False
+        
         # 确定运行哪个脚本（脚本位于 backend/scripts/ 目录）
         if platform == "twitter":
             script_name = "run_twitter_simulation.py"
@@ -489,6 +512,15 @@ class SimulationRunner:
             cls._save_run_state(state)
         
         finally:
+            # 停止图谱记忆更新器
+            if cls._graph_memory_enabled.get(simulation_id, False):
+                try:
+                    ZepGraphMemoryManager.stop_updater(simulation_id)
+                    logger.info(f"已停止图谱记忆更新: simulation_id={simulation_id}")
+                except Exception as e:
+                    logger.error(f"停止图谱记忆更新器失败: {e}")
+                cls._graph_memory_enabled.pop(simulation_id, None)
+            
             # 清理进程资源
             cls._processes.pop(simulation_id, None)
             cls._action_queues.pop(simulation_id, None)
@@ -527,6 +559,12 @@ class SimulationRunner:
         Returns:
             新的读取位置
         """
+        # 检查是否启用了图谱记忆更新
+        graph_memory_enabled = cls._graph_memory_enabled.get(state.simulation_id, False)
+        graph_updater = None
+        if graph_memory_enabled:
+            graph_updater = ZepGraphMemoryManager.get_updater(state.simulation_id)
+        
         try:
             with open(log_path, 'r', encoding='utf-8') as f:
                 f.seek(position)
@@ -557,6 +595,10 @@ class SimulationRunner:
                             if action.round_num and action.round_num > state.current_round:
                                 state.current_round = action.round_num
                             
+                            # 如果启用了图谱记忆更新，将活动发送到Zep
+                            if graph_updater:
+                                graph_updater.add_activity_from_dict(action_data, platform)
+                            
                         except json.JSONDecodeError:
                             pass
                 return f.tell()
@@ -615,6 +657,15 @@ class SimulationRunner:
         state.completed_at = datetime.now().isoformat()
         cls._save_run_state(state)
         
+        # 停止图谱记忆更新器
+        if cls._graph_memory_enabled.get(simulation_id, False):
+            try:
+                ZepGraphMemoryManager.stop_updater(simulation_id)
+                logger.info(f"已停止图谱记忆更新: simulation_id={simulation_id}")
+            except Exception as e:
+                logger.error(f"停止图谱记忆更新器失败: {e}")
+            cls._graph_memory_enabled.pop(simulation_id, None)
+        
         logger.info(f"模拟已停止: {simulation_id}")
         return state
     
@@ -811,6 +862,14 @@ class SimulationRunner:
         """
         logger.info("正在清理所有模拟进程...")
         
+        # 首先停止所有图谱记忆更新器
+        try:
+            ZepGraphMemoryManager.stop_all()
+            logger.info("已停止所有图谱记忆更新器")
+        except Exception as e:
+            logger.error(f"停止图谱记忆更新器失败: {e}")
+        cls._graph_memory_enabled.clear()
+        
         # 复制字典以避免在迭代时修改
         processes = list(cls._processes.items())
         

backend/app/services/zep_graph_memory_updater.py

@@ -0,0 +1,408 @@
+"""
+Zep图谱记忆更新服务
+将模拟中的Agent活动动态更新到Zep图谱中
+"""
+
+import os
+import time
+import threading
+import json
+from typing import Dict, Any, List, Optional, Callable
+from dataclasses import dataclass
+from datetime import datetime
+from queue import Queue, Empty
+
+from zep_cloud.client import Zep
+
+from ..config import Config
+from ..utils.logger import get_logger
+
+logger = get_logger('mirofish.zep_graph_memory_updater')
+
+
+@dataclass
+class AgentActivity:
+    """Agent活动记录"""
+    platform: str           # twitter / reddit
+    agent_id: int
+    agent_name: str
+    action_type: str        # CREATE_POST, LIKE_POST, etc.
+    action_args: Dict[str, Any]
+    round_num: int
+    timestamp: str
+    
+    def to_episode_text(self) -> str:
+        """
+        将活动转换为可以发送给Zep的文本描述
+        
+        采用自然语言描述格式，让Zep能够从中提取实体和关系
+        """
+        platform_name = "Twitter" if self.platform == "twitter" else "Reddit"
+        
+        # 根据不同的动作类型生成不同的描述
+        action_descriptions = {
+            "CREATE_POST": self._describe_create_post,
+            "LIKE_POST": self._describe_like_post,
+            "DISLIKE_POST": self._describe_dislike_post,
+            "REPOST": self._describe_repost,
+            "QUOTE_POST": self._describe_quote_post,
+            "FOLLOW": self._describe_follow,
+            "CREATE_COMMENT": self._describe_create_comment,
+            "LIKE_COMMENT": self._describe_like_comment,
+            "DISLIKE_COMMENT": self._describe_dislike_comment,
+            "SEARCH_POSTS": self._describe_search,
+            "SEARCH_USER": self._describe_search_user,
+            "MUTE": self._describe_mute,
+        }
+        
+        describe_func = action_descriptions.get(self.action_type, self._describe_generic)
+        description = describe_func()
+        
+        # 添加时间和平台上下文
+        return f"[{platform_name}模拟 第{self.round_num}轮] {self.agent_name}: {description}"
+    
+    def _describe_create_post(self) -> str:
+        content = self.action_args.get("content", "")
+        if content:
+            # 截取内容，避免过长
+            if len(content) > 300:
+                content = content[:300] + "..."
+            return f"发布了一条帖子：「{content}」"
+        return "发布了一条帖子"
+    
+    def _describe_like_post(self) -> str:
+        post_id = self.action_args.get("post_id", "")
+        return f"点赞了帖子#{post_id}" if post_id else "点赞了一条帖子"
+    
+    def _describe_dislike_post(self) -> str:
+        post_id = self.action_args.get("post_id", "")
+        return f"踩了帖子#{post_id}" if post_id else "踩了一条帖子"
+    
+    def _describe_repost(self) -> str:
+        post_id = self.action_args.get("post_id", "")
+        return f"转发了帖子#{post_id}" if post_id else "转发了一条帖子"
+    
+    def _describe_quote_post(self) -> str:
+        quoted_id = self.action_args.get("quoted_id", "")
+        content = self.action_args.get("content", "")
+        if quoted_id:
+            if content:
+                return f"引用帖子#{quoted_id}并评论：「{content[:100]}{'...' if len(content) > 100 else ''}」"
+            return f"引用了帖子#{quoted_id}"
+        return "引用了一条帖子"
+    
+    def _describe_follow(self) -> str:
+        target_id = self.action_args.get("user_id", "") or self.action_args.get("target_id", "")
+        return f"关注了用户#{target_id}" if target_id else "关注了一个用户"
+    
+    def _describe_create_comment(self) -> str:
+        content = self.action_args.get("content", "")
+        post_id = self.action_args.get("post_id", "")
+        if content:
+            if len(content) > 200:
+                content = content[:200] + "..."
+            base = f"评论道：「{content}」"
+            if post_id:
+                base = f"在帖子#{post_id}下{base}"
+            return base
+        return f"在帖子#{post_id}下发表了评论" if post_id else "发表了评论"
+    
+    def _describe_like_comment(self) -> str:
+        comment_id = self.action_args.get("comment_id", "")
+        return f"点赞了评论#{comment_id}" if comment_id else "点赞了一条评论"
+    
+    def _describe_dislike_comment(self) -> str:
+        comment_id = self.action_args.get("comment_id", "")
+        return f"踩了评论#{comment_id}" if comment_id else "踩了一条评论"
+    
+    def _describe_search(self) -> str:
+        query = self.action_args.get("query", "") or self.action_args.get("keyword", "")
+        return f"搜索了「{query}」" if query else "进行了搜索"
+    
+    def _describe_search_user(self) -> str:
+        query = self.action_args.get("query", "") or self.action_args.get("username", "")
+        return f"搜索了用户「{query}」" if query else "搜索了用户"
+    
+    def _describe_mute(self) -> str:
+        target_id = self.action_args.get("user_id", "") or self.action_args.get("target_id", "")
+        return f"屏蔽了用户#{target_id}" if target_id else "屏蔽了一个用户"
+    
+    def _describe_generic(self) -> str:
+        # 对于未知的动作类型，生成通用描述
+        return f"执行了{self.action_type}操作"
+
+
+class ZepGraphMemoryUpdater:
+    """
+    Zep图谱记忆更新器
+    
+    监控模拟的actions日志文件，将新的agent活动实时更新到Zep图谱中。
+    使用批量更新机制，将多个活动合并后一次性发送，减少API调用次数。
+    """
+    
+    # 活动缓冲区大小（达到此数量后批量发送）
+    BATCH_SIZE = 10
+    
+    # 最大等待时间（秒），即使未达到BATCH_SIZE也会发送
+    MAX_WAIT_TIME = 30
+    
+    # 重试配置
+    MAX_RETRIES = 3
+    RETRY_DELAY = 2  # 秒
+    
+    def __init__(self, graph_id: str, api_key: Optional[str] = None):
+        """
+        初始化更新器
+        
+        Args:
+            graph_id: Zep图谱ID
+            api_key: Zep API Key（可选，默认从配置读取）
+        """
+        self.graph_id = graph_id
+        self.api_key = api_key or Config.ZEP_API_KEY
+        
+        if not self.api_key:
+            raise ValueError("ZEP_API_KEY未配置")
+        
+        self.client = Zep(api_key=self.api_key)
+        
+        # 活动队列
+        self._activity_queue: Queue = Queue()
+        
+        # 控制标志
+        self._running = False
+        self._worker_thread: Optional[threading.Thread] = None
+        
+        # 统计
+        self._total_activities = 0
+        self._total_sent = 0
+        self._failed_count = 0
+        
+        logger.info(f"ZepGraphMemoryUpdater 初始化完成: graph_id={graph_id}")
+    
+    def start(self):
+        """启动后台工作线程"""
+        if self._running:
+            return
+        
+        self._running = True
+        self._worker_thread = threading.Thread(
+            target=self._worker_loop,
+            daemon=True,
+            name=f"ZepMemoryUpdater-{self.graph_id[:8]}"
+        )
+        self._worker_thread.start()
+        logger.info(f"ZepGraphMemoryUpdater 已启动: graph_id={self.graph_id}")
+    
+    def stop(self):
+        """停止后台工作线程"""
+        self._running = False
+        
+        # 发送剩余的活动
+        self._flush_remaining()
+        
+        if self._worker_thread and self._worker_thread.is_alive():
+            self._worker_thread.join(timeout=10)
+        
+        logger.info(f"ZepGraphMemoryUpdater 已停止: graph_id={self.graph_id}, "
+                   f"total_activities={self._total_activities}, "
+                   f"total_sent={self._total_sent}, "
+                   f"failed={self._failed_count}")
+    
+    def add_activity(self, activity: AgentActivity):
+        """
+        添加一个agent活动到队列
+        
+        Args:
+            activity: Agent活动记录
+        """
+        # 跳过DO_NOTHING类型的活动
+        if activity.action_type == "DO_NOTHING":
+            return
+        
+        self._activity_queue.put(activity)
+        self._total_activities += 1
+    
+    def add_activity_from_dict(self, data: Dict[str, Any], platform: str):
+        """
+        从字典数据添加活动
+        
+        Args:
+            data: 从actions.jsonl解析的字典数据
+            platform: 平台名称 (twitter/reddit)
+        """
+        # 跳过事件类型的条目
+        if "event_type" in data:
+            return
+        
+        activity = AgentActivity(
+            platform=platform,
+            agent_id=data.get("agent_id", 0),
+            agent_name=data.get("agent_name", ""),
+            action_type=data.get("action_type", ""),
+            action_args=data.get("action_args", {}),
+            round_num=data.get("round", 0),
+            timestamp=data.get("timestamp", datetime.now().isoformat()),
+        )
+        
+        self.add_activity(activity)
+    
+    def _worker_loop(self):
+        """后台工作循环"""
+        buffer: List[AgentActivity] = []
+        last_send_time = time.time()
+        
+        while self._running or not self._activity_queue.empty():
+            try:
+                # 尝试从队列获取活动（超时1秒）
+                try:
+                    activity = self._activity_queue.get(timeout=1)
+                    buffer.append(activity)
+                except Empty:
+                    pass
+                
+                # 检查是否应该发送批次
+                current_time = time.time()
+                should_send = (
+                    len(buffer) >= self.BATCH_SIZE or
+                    (len(buffer) > 0 and current_time - last_send_time >= self.MAX_WAIT_TIME)
+                )
+                
+                if should_send:
+                    self._send_batch(buffer)
+                    buffer = []
+                    last_send_time = current_time
+                    
+            except Exception as e:
+                logger.error(f"工作循环异常: {e}")
+                time.sleep(1)
+        
+        # 发送剩余的活动
+        if buffer:
+            self._send_batch(buffer)
+    
+    def _send_batch(self, activities: List[AgentActivity]):
+        """
+        批量发送活动到Zep图谱
+        
+        Args:
+            activities: 活动列表
+        """
+        if not activities:
+            return
+        
+        # 将所有活动合并为一段文本
+        episode_text = "\n".join([a.to_episode_text() for a in activities])
+        
+        # 带重试的发送
+        for attempt in range(self.MAX_RETRIES):
+            try:
+                self.client.graph.add(
+                    graph_id=self.graph_id,
+                    type="text",
+                    data=episode_text
+                )
+                
+                self._total_sent += len(activities)
+                logger.debug(f"成功发送 {len(activities)} 条活动到图谱 {self.graph_id}")
+                return
+                
+            except Exception as e:
+                if attempt < self.MAX_RETRIES - 1:
+                    logger.warning(f"发送到Zep失败 (尝试 {attempt + 1}/{self.MAX_RETRIES}): {e}")
+                    time.sleep(self.RETRY_DELAY * (attempt + 1))
+                else:
+                    logger.error(f"发送到Zep失败，已重试{self.MAX_RETRIES}次: {e}")
+                    self._failed_count += len(activities)
+    
+    def _flush_remaining(self):
+        """发送队列中剩余的活动"""
+        remaining = []
+        while not self._activity_queue.empty():
+            try:
+                remaining.append(self._activity_queue.get_nowait())
+            except Empty:
+                break
+        
+        if remaining:
+            self._send_batch(remaining)
+    
+    def get_stats(self) -> Dict[str, Any]:
+        """获取统计信息"""
+        return {
+            "graph_id": self.graph_id,
+            "total_activities": self._total_activities,
+            "total_sent": self._total_sent,
+            "failed_count": self._failed_count,
+            "queue_size": self._activity_queue.qsize(),
+            "running": self._running,
+        }
+
+
+class ZepGraphMemoryManager:
+    """
+    管理多个模拟的Zep图谱记忆更新器
+    
+    每个模拟可以有自己的更新器实例
+    """
+    
+    _updaters: Dict[str, ZepGraphMemoryUpdater] = {}
+    _lock = threading.Lock()
+    
+    @classmethod
+    def create_updater(cls, simulation_id: str, graph_id: str) -> ZepGraphMemoryUpdater:
+        """
+        为模拟创建图谱记忆更新器
+        
+        Args:
+            simulation_id: 模拟ID
+            graph_id: Zep图谱ID
+            
+        Returns:
+            ZepGraphMemoryUpdater实例
+        """
+        with cls._lock:
+            # 如果已存在，先停止旧的
+            if simulation_id in cls._updaters:
+                cls._updaters[simulation_id].stop()
+            
+            updater = ZepGraphMemoryUpdater(graph_id)
+            updater.start()
+            cls._updaters[simulation_id] = updater
+            
+            logger.info(f"创建图谱记忆更新器: simulation_id={simulation_id}, graph_id={graph_id}")
+            return updater
+    
+    @classmethod
+    def get_updater(cls, simulation_id: str) -> Optional[ZepGraphMemoryUpdater]:
+        """获取模拟的更新器"""
+        return cls._updaters.get(simulation_id)
+    
+    @classmethod
+    def stop_updater(cls, simulation_id: str):
+        """停止并移除模拟的更新器"""
+        with cls._lock:
+            if simulation_id in cls._updaters:
+                cls._updaters[simulation_id].stop()
+                del cls._updaters[simulation_id]
+                logger.info(f"已停止图谱记忆更新器: simulation_id={simulation_id}")
+    
+    @classmethod
+    def stop_all(cls):
+        """停止所有更新器"""
+        with cls._lock:
+            for simulation_id, updater in list(cls._updaters.items()):
+                try:
+                    updater.stop()
+                except Exception as e:
+                    logger.error(f"停止更新器失败: simulation_id={simulation_id}, error={e}")
+            cls._updaters.clear()
+            logger.info("已停止所有图谱记忆更新器")
+    
+    @classmethod
+    def get_all_stats(cls) -> Dict[str, Dict[str, Any]]:
+        """获取所有更新器的统计信息"""
+        return {
+            sim_id: updater.get_stats() 
+            for sim_id, updater in cls._updaters.items()
+        }